强化学习型匝道控制模型的研究

高速公路上的交通堵塞造成了道路利用效率低下，并伴随着能源消耗和环境污染问题，因此各种各样的高速公路控制方法应用于缓解交通堵塞。本文提出强化学习型匝道控制模型，该模型以交通流模拟为预测工具，以人工智能的强化学习为最优化选择模型，并具有一定的自主性、有记忆功能和性能反馈功能，且是一种动态的过程。应用JAVA针对不同的交通状态进行模拟再现，模拟结果表明匝道控制模型对于减少交通堵塞具有显著的效果。     

Adaptive agent-based manufacturing control and its application to flow shop routing control

The manufacturing industry is currently facing unprecedented challenges from changes and disturbances. The sources of these changes and disturbances are of different scope and magnitude. They can be of a commercial nature, or linked to fast product development and design, or purely operational (e.g. rush order, machine breakdown, material shortage etc.). In order to meet these requirements it is increasingly important that a production operation be flexible and is able to adapt to new and more suitable ways of operating. This paper focuses on a new strategy for enabling manufacturing control systems to adapt to changing conditions both in terms of product variation and production system upgrades. The approach proposed is based on two key concepts: (1) An autonomous and distributed approach to manufacturing control based on multi-agent methods in which so called operational agents represent the key physical and logical elements in the production environment to be controlled – for example, products and machines and the control strategies that drive them and (2) An adaptation mechanism based around the evolutionary concept of replicator dynamics which updates the behaviour of newly formed operational agents based on historical performance records in order to be better suited to the production environment. An application of this approach for route selection of similar products in manufacturing flow shops is developed and is illustrated in this paper using an example based on the control of an automobile paint shop.     

Improving traceability in continuous processes using flow simulations

Traceability is normally difficult to achieve in continuous processes, since there are no natural batch structures. In this article, we demonstrate flow-based simulation using process data to improve traceability in a continuous pelletising process. Using the simulation model, the engineers could test the impacts of process disturbances, identify cause and effect relations and aid control in case of process disturbances. In a field trial where the chemistry of an additive was varied during production of a special product, the simulation forecasts predicted the level of the chemical content after the plant within the errors that the engineers found acceptable.     

城市供水管网系统工况分析的研究

通过分析实际供水管网系统的特征，对管网工况分析所涉及的几个尚未解决的计算问题进行了研究，提出了用计算机进行工况分析的思路与框架，为管网运行调度及研究管网水质模型打下了良好基础．     

支持MLS的多层次嵌入式高可信软件架构

为增强安全关键系统的高可信能力,在分析高可信保障机制现状的基础上,提出了一种多层次的高可信软件架构。该架构采用时空分离思想、虚拟机技术,为基于MLS的嵌入式安全关键系统提供了一种整体解决方案。基于该架构,研究了多层次的安全和防危策略管理方法、信息流控制机制、可信软件的评估和认证方法,为安全关键嵌入式系统提供可认证的安全服务。     

HFC－134a水平管内流动沸腾换热研究的进展

在分析国外有关文献的基础上，对ＨＦＣ－１３４ａ水平管内流动沸腾换热研究的现状和已取得的成果进行了综述，指出了该领域进一步研究的方向．     

现金流量表编制方法改进设想

根据《企业会计准则 -现金流量表》的要求 ,企业在编制现金流量表时应采用直接法报告经营活动现金流量 ,传统的直接法有工作底稿法和 T形帐户法 ,在这两种方法的操作中都要面对费脑筋的“调整分录”和“分析填列”,难度高、工作量大、自动化程度低 ,缺乏普及和实用性 ,而代码日记法则能克服这些缺陷 ,体现了简便易行的特点     

休闲消费中的流体验生命周期探究

体验是随着消费者休闲消费的经验不断丰富而不断变化的，是一个动态的过程。体验如何变化以及休闲消费企业针对体验的动态过程的对策是需要解决的一个问题。利用流理论，从心理学角度探究休闲消费中的消费者体验主要有以下几点：首先，对心理学视角下的三个代表体验理论进行述评；其次，基于流体验理论提出休闲消费的流体验生命周期以及体验的总效用模型；最后，基于流体验生命周期从个人和休闲两个层面，提出提高消费者休闲消费倾向的对策。     

动静叶相互干涉的三维非定常流场数值模拟

将双时间步法应用于叶栅级的全三维黏性非定常数值求解，讨论了分区算法中内边界条件的给定问题，本算法可保证分区边界上具有与内点相同的精度，具有很好的数值稳定性，且通量基本守恒，将该方法应用于具有弯曲导叶的涡轮级的计算可得到典型的非定常流谱，揭示了动静叶之间的相互干涉对叶片气动性能的影响，数值计算结果表明本文给出的算法是合理有效的。     

现金流量表相关指标分析

现金流量表作为企业法定编报的三张报表之一 ,对于债权人、股东及企业管理者分析企业的经营状况而言 ,具有重要的意义。本文重点阐述了现金流量表相关指标的分析。